{"id":"W7106531849","doi":"10.1587/transfun.2025smp0002","title":"A Proposed for Lossless Compression of Images for Hardware Implementation","year":2025,"lang":"en","type":"article","venue":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Lossless compression; Lossy compression; Data compression; Data compression ratio; Image compression; Lossless JPEG; Compression (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968818,0.0006119192,0.0002586998,0.0007940411,0.0003900565,0.0007693798,0.0009065251,0.0005588835,0.005352445],"category_scores_gemma":[0.0005801559,0.0002367714,0.0002857709,0.0005165093,0.0002870439,0.001032615,0.0003795278,0.0007006033,0.001882224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508712,"about_ca_system_score_gemma":0.000504007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005329163,"about_ca_topic_score_gemma":0.0006733737,"domain_scores_codex":[0.9997117,0.00002310329,0.00001786834,0.00004518006,0.000182709,0.00001943635],"domain_scores_gemma":[0.9997279,0.00003818101,0.00002355332,0.00005924343,0.0001357676,0.00001527755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003759141,0.0001369688,0.0005837989,0.0004799005,0.00006591695,0.0003724654,0.000117003,0.007414081,0.3486151,0.02289839,0.01375115,0.6051893],"study_design_scores_gemma":[0.0001928025,0.0007178192,0.001681117,0.0001094893,0.0001212643,0.003224114,0.00006071442,0.2937272,0.5431533,0.005659387,0.151259,0.00009370565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01700691,0.001696435,0.9675272,0.0004608896,0.0004906376,0.0002181957,0.0001751464,0.00277126,0.009653358],"genre_scores_gemma":[0.2476781,0.002037062,0.7176507,0.0007449724,0.0003235471,0.000381547,0.000631273,0.0002209381,0.03033189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005352445,"threshold_uncertainty_score":0.01790571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990442814705944,"score_gpt":0.372366292713548,"score_spread":0.3424618645664885,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}